Should we focus more on societal or technical issues with AI risk
Neither AI alignment nor AI governance are important yet. We are so far away from AGI that we don't even know what is missing.

We don't set up safety instructions for interstellar travel, so why should we do it for AGI? I can also come up with a lot of dangers of that...

There are real dangers of AI, though. Including societal issues:


Blind trust:  Trusting a machine, although it is not perfect. Just because it is good in most cases and seems to be rational/objective. Example: Machine Bias
Unemployment: AI has the potential to replace a lot of low-skill jobs with very few super high skilled jobs. For example, self-driving cars (&lt; 100 people for one manufacturer, I guess) could replace all jobs in trasportation (1,076,200 of 31,373,700 in Germany (source) - that is 3.4%!). See CG gray video.
Weapon Systems: The thread of leathal autonomous weapons is real. There is the danger of efficient slaughterbots and the danger of errors - similar to the Wech Baghtu wedding party airstrike or that one


There are a couple of other problems, but I think they are less severe:


Better fakes: lyrebird.ai gives a good demo
Spam: I think it's easier to improve the spam filters, but humans might have a harder time
Data is dominance: Companies like Amazon will have a dominant position on the market as they were the first to aquire important customer information
Bubbles / false hopes: AI (or let's better say Machine learning)  is often seen as a golden hammer. It is not.